Literature DB >> 19648495

Genetic uniqueness of Chinese village pig populations inferred from microsatellite markers.

M Fang1, X Hu, W Jin, N Li, C Wu.   

Abstract

In this study, 19 microsatellite loci were genotyped for 10 Chinese village pig populations including 817 individuals to investigate their genetic characteristics. The allele frequencies, effective numbers of alleles (ne), average heterozygosity within populations (H), genetic differentiation between populations (Fst), and coefficient of gene differentiation (Gst) were calculated. The results showed that village populations had relatively large H and ne values, but with smaller average Gst, compared with indigenous purebred pig populations. The smaller average Gst (0.0386) suggested that the genetic difference between village populations was only 3.86%, and the other 96.14% was found within populations. Most of the pairwise Fst-values were significant (P < 0.05), demonstrating differentiation among populations. A neighbor-joining tree constructed from modified Cavalli-Sforza genetic distances divided Chinese village pig populations, Chinese indigenous pig breeds, and Euro-American pig breeds into 3 separate clusters. All of above genetic analyses showed that Chinese village pig populations are unique genetic resources, which could be used for future pig production.

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Year:  2009        PMID: 19648495     DOI: 10.2527/jas.2008-1632

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  2 in total

1.  Farming practices and genetic characterization of Nicobari pig, an indigenous pig germplasm of Nicobar group of islands, India.

Authors:  Arun Kumar De; S Jeyakumar; Madhu Sudan Kundu; Anandamoy Kundu; Jai Sunder; M Ramachandran
Journal:  Trop Anim Health Prod       Date:  2014-03-05       Impact factor: 1.559

2.  Genetic diversity analysis of Thai indigenous pig population using microsatellite markers

Authors:  Rangsun Charoensook; Kesinee Gatphayak; Bertram Brenig; Christoph Knorr
Journal:  Asian-Australas J Anim Sci       Date:  2019-03-07       Impact factor: 2.509

  2 in total

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